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EmberWriter
@grumpystrongman•19h ago
EmberWriter RC2 Is Here — Introducing Audio Director 🎙️📚One of the things that bothered me while testing EmberWriter's audiobook generation was hearing a character's dialogue suddenly switch back to the narrator's voice. The words were correct, but the performance wasn't. A conversation between two characters could lose its rhythm because the system didn't always understand who was speaking. That sent me back into the audiobook production pipeline, and it led to one of the bigger improvements we've made to EmberWriter so far. EmberWriter RC2 introduces Audio Director, a new approach to turning novels into narrated audiobooks. Instead of sending the original manuscript directly to the speech engine, EmberWriter now creates a separate Audiobook Performance Manuscript. It preserves the author's original writing while adding the information needed to produce a better performance: character assignments, emotional direction, delivery cues, and pronunciation instructions. 🎭 What's New in RC2? Character-aware narration: EmberWriter identifies dialogue and assigns it to the appropriate character voice. When it cannot confidently identify who's speaking, it flags the passage for review rather than automatically giving it to the narrator. Emotional performance direction: Authors can review and adjust cues such as fear, sadness, joy, urgency, relief, and restraint. These instructions become part of the audiobook manuscript without changing the novel itself. Audio Director interface: Review dialogue, correct character assignments, and adjust delivery instructions directly inside EmberWriter's Audiobook Workshop. Improved pronunciation: We've retained our CMU/IPA pronunciation improvements, including corrections for words such as buoy and buoys. Better pacing: Chapter headings now have a deliberate 1.35-second pause before narration begins. Smarter regeneration: Unchanged audio segments can be reused, so correcting one character's dialogue doesn't require regenerating the entire audiobook. 🎧 Hear the Results I regenerated our original three-chapter demonstration, The Bell Below Low Water, using Kokoro ONNX. The audiobook features five distinct voices: the narrator, Mara, Ivo, Nessa, and Sal. Across three chapters, we identified and assigned speakers to 70 dialogue passages, including 30 additional assignments prepared for author review. Here are three short samples from the actual recordings: 🎧 Mara and Ivo — Character Dialogue (20 seconds) https://raw.githubusercontent.com/grumpystrongman/EmberWriter-Pinokio/main/media/rc2/sample-01-mara-ivo-dialogue.mp3 🎧 The Rescue Decision (22 seconds) https://raw.githubusercontent.com/grumpystrongman/EmberWriter-Pinokio/main/media/rc2/sample-02-rescue-decision.mp3 🎧 Multiple Character Voices (26 seconds) https://raw.githubusercontent.com/grumpystrongman/EmberWriter-Pinokio/main/media/rc2/sample-03-multiple-character-voices.mp3 📸 Screenshots Audio Director — Dialogue and Speaker Validation Character Voice Assignment and Performance Controls 🔥 What About Fish Audio? Fish Speech's approach to expressive narration helped inspire this architecture. EmberWriter now has an engine-independent performance manuscript and a Fish-compatible rehearsal workflow. The idea is to let different speech engines interpret the same performance instructions according to their capabilities. Kokoro currently handles distinct character voices and pronunciation, but its emotional expressiveness is limited. Fish integration is still experimental, and we haven't completed live expressive-performance validation yet. I'm particularly interested in where we can take this next: an audiobook system that understands not just what a character says, but what they've experienced in the story and how that should influence their performance. ✅ Release Candidate Status RC2 has passed 559 backend tests, and the frontend production build completed successfully. The new three-chapter audiobook has also passed automated checks for character assignments, pronunciation rules, and chapter pacing. We're keeping this labeled as a release candidate while we finish listening reviews, clean-install testing, and further Fish integration. 🚀 Install or Update Through Pinokio New users: https://github.com/grumpystrongman/EmberWriter-Pinokio Existing users: Open EmberWriter in Pinokio and select Update. Once updated, navigate to: Publish → Audiobook → Audio Director You can find the full RC2 update, screenshots, and audio demonstrations here: https://github.com/grumpystrongman/EmberWriter-Pinokio/issues/1 EmberWriter remains a local-first writing and book-production environment. The goal is to give independent authors more control over the entire process, from their first chapter to a finished book and, eventually, an audiobook that genuinely sounds performed rather than simply read aloud. If you're testing EmberWriter through Pinokio, I'd appreciate hearing how the new dialogue attribution works with your stories, particularly conversations with several characters or dialogue where the speaker isn't explicitly identified. Those are the situations that exposed the problems in the first place, and they're exactly where I want Audio Director to keep improving.
pinokio
@cocktailpeanut•1d ago
Pinokio: Building a Security-First Platform for Local AppsToday Pinokio 8.3.7 is released. Combined with the last version (v8.3.1), these updates lay the foundation for a security-first approach to Pinokio, with more of the ongoing security maintenance handled by Pinokio itself, so app developers don't have to worry about the infrastructure and system dependencies, and focus on making their apps useful for the users. To make sure your pinokio is secure, please update to 8.3.7 (if you haven't autoupdated yet) here: https://desktop.pinokio.co Security-First Approach A shared security foundation. Certificate checks, runtime updates, and repairs can be managed centrally, reducing dependence on each app’s launcher being maintained individually. Fixes that reach existing apps. Protections can be automatically applied when older app environments are launched, without waiting for every app developer to release an update. Checks built into installation and startup. Required security updates, verification of critical setup downloads, and clear recovery instructions become part of the normal workflow. A foundation that can keep improving. The mechanisms introduced for this incident provide a way to deliver future certificate and runtime protections across apps. The goal is for users to rely on Pinokio to maintain the shared localhost infrastructure their apps run on, while app developers remain responsible for the security of their own code. What has changed? The desktop app’s browser engine has been updated. Pinokio moved to a new version of the browser engine which includes eMudhra protections for both browser requests and Node.js connections, and later to 43.8.7. Certificate errors are handled strictly. The desktop app previously allowed connections to continue despite certificate validation errors. That override has been removed. The tools bundled with Pinokio have been updated. This includes Node.js, uv, etc. Updated certificates and pip are now required by the installation checks. Pinokio requires ca-certificates and certifi version 2026.10.19 or newer, and pip 26.2.2 or newer. Outdated installations no longer pass those checks. Python 3.10.20 has been retained for app compatibility, with certificate requirements enforced separately. Certificate updates have been extended to existing apps. Common Python networking libraries now default to Pinokio’s managed certificate bundle on Windows, macOS, and Linux. Older app environments pick up those defaults when launched, while explicitly configured certificate settings are respected. The separate certificate list bundled inside pip is now repaired automatically. Updating system certificates alone doesn’t remove pip’s own copy. That copy is now replaced with Pinokio’s managed bundle when existing app environments are activated, without upgrading their other dependencies. The initial pip installation used by new Python environments has been fixed. Python’s bundled ensurepip is repaired to use the updated pip wheel, preventing newly created environments from bringing back the older version. Download verification has been added to the repair process. Miniforge installers and the pip wheel are checked against pinned SHA-256 hashes before use. Downloads that don’t match are rejected. Repair failures are now surfaced instead of silently skipped. If pip’s certificate file cannot be replaced, the app launch is stopped and recovery instructions identify the affected file. Repair logs include timestamps and file hashes, and regression tests cover stale certificates, damaged downloads, missing files, and permission failures. What next? As mentioned above, this release is laying the foundation, and will evolve to a general purpose security architecture that can quickly respond to all kinds of security issues we will encounter as AI agent based exploits become more and more prevalent. In fact I expect to see more frequent security updates over the coming weeks and months, and the goal is to make the update process as seamless as possible. Stay tuned!
Phosphene
@bizarro•1d ago
Phosphene 4.19.19 - 8-megapixel pictures on your Mac, free (and 4.19.18: lip-sync that keeps time)Phosphene (https://phosphene.video): free AI video, images and music on your Mac. Open source, runs locally on Apple silicon. 4.19.19 - P-H3-Image, 8-megapixel pictures, free New in the Images tab: P-H3-Image by Pruna AI, built on MiniMax H3 (the same family as our Hailuo video). Big photographs, film frames and posters from a sentence, made on your Mac, nothing sent to the cloud. 8 MP in about 5 min on an M4 Max (4 MP about 2.5 min, 2 MP about 1.3 min). Not upscaled: one image, straight out of the model, nothing retouched. Words come out spelled exactly. Put short text in double quotes and it is written as typed. Free. Needs a Mac with 48 GB or more and Hailuo H3 installed. Pick it in Images -> Engine, click the "download ~18 GB" chip once (fetched from Pruna, never re-hosted), then Generate. Honest limits: hands and tiny background faces can still go wrong, and it does not take reference images yet. Credit: P-H3-Image by Pruna AI, based on MiniMax-H3 by MiniMax (MiniMax H3 Community License); text encoder based on Qwen3-VL-4B (Apache-2.0). Powered by MiniMax H3. Examples and docs: https://phosphene.video/docs/images/#p-h3-image 4.19.18 - lip-sync that keeps time with the voice Lip-sync: the mouth now moves with the voice, not a few frames ahead. Lip-sync clips from both video engines moved the mouth up to a quarter of a second early. Phosphene now checks each lip-sync clip after it is made and holds the picture back by exactly those frames. The sound and the length stay the same; a clip it cannot read clearly (singing, no clear face) is left as it was. A friendlier one-time thank-you card after your fifth video, and one-click starring if your Mac is signed in to GitHub (the gh command). Close it once and it never comes back. Fixed: a stopped image model download no longer fails as "stuck" on every Generate. Press Generate again and it carries on. Clearer messages when an image model download breaks off, and when a LoRA does not fit the image model. Free for everyone. In Pinokio, press Update, then restart Phosphene. Release notes: https://github.com/mrbizarro/Phosphene/releases/tag/v4.19.19 and https://github.com/mrbizarro/Phosphene/releases/tag/v4.19.18
Drama 3 Offload Studio
@thomas_eric•1d ago
Major Update: New Weights + a lot of bug fixes!Hello! Olá! I didn't have any time yesterday to write this post! Sorry! Anyway, on October 29th Fish Audio quietly uploaded new Drama 3 weights. I patched my Studio to run them. This update also fixes phoneme words, stops the word check from rejecting good takes, and decodes about 12% faster. Press Update in Pinokio. If you run the full model, Update downloads the new weights (39.6 GB), so keep that much disk free. The old files are deleted right after, and if the download stops, the Studio keeps working on the old weights until you run it again. Fish's new weights Fish swapped the files with no announcement: 909 of 912 tensors changed, while the codec and tokenizer stayed the same. tts-bench found they pace like Fish's hosted app on English, within 5%, where the old weights ran 19-38% fast. A Spanish take that used to run to the frame limit now ends normally. Meanwhile, I found the new weights to realiably give better audio. All 108 test takes here passed the word check (12 lines, 3 voices, 3 seeds). The pause fix and stall guard needed no changes. I refit the list of experts kept in VRAM for the new weights: 72-79 frames/s, up from 65-70, on an RTX 5090. The takes come out the same. Word check: fewer false alarms Good takes were being remade because of how Whisper writes things. On 508 good recorded takes, 471 now pass, up from 413. Numbers said the way people say them: "3.30" for "three thirty", "$2.5 million", "555-0142" read digit by digit, "a hundred and seventy one". Units such as "5 km" and "250 ml". Whisper's labels for sounds, like "(coughing)" or "[BLANK_AUDIO]". Names Whisper writes in capitals, like "QUEN" for "Qwen". Takes missing a word are caught exactly as often as before. One trade-off: a take that says one wrong number now passes more often. The check was built to catch skipped spans and endings, not single wrong words. Phoneme words A script ending on phoneme words no longer has them cut off. A take that says a phoneme word no longer scores worse than one that skips it. This was remaking good takes and keeping bad ones. A take that leaves out a phoneme word is now made again in Quality Mode. CMU Arpabet works better than IPA with this model, and the Studio now says so. Smaller fixes The Space's limit of 60 takes per 10 minutes is gone. It made sense for a shared demo, not for your own GPU. The server now stops if the shell that started it dies, so it can't sit there holding 20+ GB of VRAM. Tested on Linux; the Windows path is untested. If the voice cache fails, the take goes on and reads the whole prompt instead of failing. MLX's memory cache is capped at 2 GiB. Checked on Linux, not yet on a Mac. On a Mac: the MLX models are still conversions of Fish's original weights, because no conversion of the new ones exists yet. The Small GGUF is unchanged too. Thanks to the projects this builds on: 5uck1ess/tts-bench for finding the weight change, maralski/drama-studio for the recorded takes and word-check ideas, latent-variable/shipshow for the number and name fixes and the MLX cache cap, plotarmordev/drama-tensorfold and ashhart/TensorFold, and tildaslashalef/nuclis for the cue measurements.
pinokio
@cocktailpeanut•3d ago
Dark modeDid you know this website has dark mode? You can switch between light and dark mode anytime with a single click on the theme button in the top-right corner of https://pinokio.co
Mumblebox 3D Asset Foundry
@mumblebox•3d ago
Just added Image to 3d Rigged HAIR Workflow wizard for using HairDeck! HairDeck has its own grouped workflow and six-page wizard: supply a clear hairstyle image, generate sequential variations, inspect hair and predicted chains, adjust head alignment and materials, then export static GLB or a skinned VRM 0.x avatar. Optional outputs include a head-turn MP4, preprocessing images and editable card/chain data. Results use the shared History and catalog-driven README/ZIP services. These are stylized hair cards, not strand Groom or a complete character rigger.
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Drama 3 Offload StudioFeatured
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YUE2 // GROOVEFeatured
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A live 3D intelligence console for planet Earth.
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Describe any song in plain English, compose a structured caption and lyrics locally, and generate it with MiniMax Music 3.
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#showcase
Minimax H3 Singularity 4 Step Generation Prompt: Use the provided image as the starting frame. Preserve the exact minimalist black-and-white Wojak meme drawing style, characters, and party setting. Static camera, no cuts, no zooms, no dialogue, no text. 0–3s: The man leans casually against the wall in the corner, legs crossed, one hand in his pocket, holding his drink. He has a faint, peaceful smile. Across the room, three extremely attractive adult women dancing at the party notice him. They exchange excited glances. 3–7s: The first woman confidently approaches him, flips her hair, gives h...
@cocktailpeanut·7d ago
#cool-project
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@ky13k0d3·10d ago
#guide
Using GPT Images 2.6 Animated GIF to Prototype an AI Video
@cocktailpeanut·23h ago
#testers-wanted
For those of you brave enough to install... Thanks for trying it out. I am adding a bug report feature and fixing the workflows for objects/creatures/vehicles. I am also adding a coding agent driven headless Blender node. I will be looking to optimizes for low memory systems soon. There is alot to do on the Roadmap. Thanks for your interest.
@mumblebox·3d ago